Graphical Models and Causal Discovery with R

Anglický jazyk

Graphical Models and Causal Discovery with R

Vydavateľstvo: Springer-Verlag GmbH
Rok vydania: 2026
Formát: Paperback
Rozmer: 235 x 155 mm
Jazyk: Anglický jazyk
ISBN: 9789819542666

Predpokladaný dátum vydania: 4.3.2026

59.39 €

bežná cena: 65.99 €

O knihe

Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way. By uniting probability theory, statistical inference, and graph theory, the book offers a systematic pathway from foundational principles to cutting-edge algorithms, including independence tests, the PC algorithm, LiNGAM, information criteria, and Bayesian methods. Far more than a theoretical treatment, this volume emphasizes hands-on learning through R implementations, carefully designed exercises with solutions, and intuitive graphical illustrations. Readers will gain the ability to see, run, and understand causal discovery methods in practice.

Key features of this book include:

A clear and self-contained introduction, bridging probability, statistics, and modern causal discovery techniques
100 exercises with solutions, supporting self-study and classroom use
Reproducible R code, allowing readers to implement and extend the methods themselves
Intuitive figures and visual explanations that clarify abstract concepts
Broad coverage of applications across disciplines, connecting rigorous methods with real-world challenges